
Explore Google Cloud data storage options, including Cloud Storage as object storage, and databases like Cloud SQL, Cloud Datastore, Cloud Bigtable, and Cloud Spanner, plus data migrations and transfer services.
Google Cloud Storage allows world-wide storage and retrieval of any amount of data at any time. You can use Google Cloud Storage for a range of scenarios including serving website content, storing data for archival and disaster recovery, or distributing large data objects to users via direct download.
Google Cloud Storage allows world-wide storage and retrieval of any amount of data at any time. You can use Google Cloud Storage for a range of scenarios including serving website content, storing data for archival and disaster recovery, or distributing large data objects to users via direct download.
Cloud Spanner is the enterprise-grade, globally distributed, strongly consistent relational database service that scales horizontally, is fully managed, supports multi-regional deployments, and offers SQL compatibility with built-in security.
Compare Cloud Spanner and SQL options, noting Spanner's hardware-based distribution and internal clocks enabling high availability and scale, while SQL remains open source with lift-and-shift or rewrite considerations.
Demonstrates migrating files between Google Cloud Storage buckets across regions using the transfer service, configuring source and destination, handling permissions, prefixes, and schedules for region-to-region transfers.
Cloud Storage FUSE is an open source FUSE adapter that allows you to mount Cloud Storage buckets as file systems on Linux or OS X systems. It also provides a way for applications to upload and download Cloud Storage objects using standard file system semantics. Cloud Storage FUSE can be run anywhere with connectivity to Cloud Storage, including Google Compute Engine VMs or on-premises systems1.
Cloud Storage FUSE is a Google-developed and community-supported open-source tool, written in Go and hosted on GitHub. Cloud Storage FUSE is governed solely by the Apache License and not by any other terms or conditions. It is distributed as-is, without warranties of any kind.
gcloud is a tool that provides the primary command-line interface to Google Cloud Platform. You can use this tool to perform many common platform tasks either from the command-line or in scripts and other automations.
For example, you can use gcloud to create and manage:
You can also use gcloud to deploy App Engine applications and perform other tasks. Read the gcloud Reference to learn more about the capabilities of this tool.
Learn to use Google Cloud Platform Stackdriver for monitoring, logging, tracing, error reporting, and profiling, with dashboards, workspaces, groups, policies, and uptime checks to manage resources and alerts.
Explore Stackdriver metrics explorer to view container metrics, log bytes, and API traffic, filter by cluster and bucket, and analyze storage bucket receive bytes and log bytes for performance.
Enable Stackdriver monitoring and logging for Kubernetes clusters, then monitor clusters, pods, and containers with alerts and uptime checks.
Explore free code labs for hands-on practice with Google Cloud services, including App Engine, virtual machines, and Stackdriver monitoring; learn by trying before you buy with clear, step-by-step instructions.
Explore quick labs to practice Google Cloud and Amazon cloud networking, learn to view Google labs, manage credits and costs, and follow networking 101–102 lab instructions with login details.
Use the GCP cloud calculator to estimate storage costs by region and storage class, comparing regional versus multi-regional options. Explore nearline, coldline, archive, and class-a/b operations, and consider monitoring costs.
The GCP pricing calculator offers granular service-by-service estimates, showing region placement, committed usage vs on-demand, VMs, SSD, and sustained use discounts shaping costs.
Explore how Google Cloud storage options integrate with compute and migration strategies, mapping storage needs to cloud architect and data engineer exam objectives.
Google Cloud is growing quickly as companies increasingly adopt multi-cloud strategies. It was once again named a Leader in the 2019 Gartner Infrastructure as a Service Magic Quadrant, and demand for people with Google Cloud skills is running high.
According to Global Knowledge’s Survey for 2020 a GCP Cloud Architect had the highest salary at $179,000. Getting Google Cloud Certified or even just learning more can add value to your career earnings
To meet this demand and help organizations identify knowledgeable talent, Google has created their Associate Cloud Engineer certification.
The following path will guide you along as you build your Google Cloud skills.
Course Overview
During this course we will cover storage requirements around Google Cloud Platform which has you enterprise covered. GCP offers object storage for different needs and price points as well as managed MySQL and globally-scalable NoSQL databases. GCPs archival storage provides industry-leading pricing with the performance of disc.
Different applications and workloads require different storage and database solutions. GCP offers a full suite of industry-leading storage services that are price performance and meet your needs for structured, unstructured, transactional, and relational data. This course will help you identify the solutions that fit your scenarios, whether they are mobile applications, hosting commercial software, data pipelines, or storing backups.
Why use GCP Storage and database products?
Higher Productivity is gained through Quick Access to Innovation: G
Less Disruption is Caused When Users Adopt New Functionality:
Employees Can Work From Anywhere:
Google Cloud Allows Quick Collaboration:
Customers are protected by Google’s Investments in Security:
Less Data has to be stored on Vulnerable Devices:
Customers get Higher Uptime and Reliability
Control and Flexibility Available to Users
Google’s Economies of Scale Let Customers Spend Less: